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<div class="header">
  <div class="summary">
<a href="#nested-classes">Data Structures</a> &#124;
<a href="#func-members">Functions</a>  </div>
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<div class="title">arm_compute::detail Namespace Reference</div>  </div>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
Data Structures</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1brelu.xhtml">brelu</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Bounded RELU activation object.  <a href="structarm__compute_1_1detail_1_1brelu.xhtml#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1detail_1_1compare__dimension.xhtml">compare_dimension</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Function to compare two <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a> objects and throw an error on mismatch.  <a href="classarm__compute_1_1detail_1_1compare__dimension.xhtml#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1dummy.xhtml">dummy</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Dummy activation object.  <a href="structarm__compute_1_1detail_1_1dummy.xhtml#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1get__tensor__info__t.xhtml">get_tensor_info_t</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the info for a tensor, dummy struct.  <a href="structarm__compute_1_1detail_1_1get__tensor__info__t.xhtml#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1get__tensor__info__t_3_01_i_tensor_info_01_5_01_4.xhtml">get_tensor_info_t&lt; ITensorInfo * &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the info for a tensor.  <a href="structarm__compute_1_1detail_1_1get__tensor__info__t_3_01_i_tensor_info_01_5_01_4.xhtml#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1lubrelu.xhtml">lubrelu</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Lower-Upper Bounded RELU activation object.  <a href="structarm__compute_1_1detail_1_1lubrelu.xhtml#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1relu.xhtml">relu</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">RELU activation object.  <a href="structarm__compute_1_1detail_1_1relu.xhtml#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:afaba543670e99c2483e0bd1996201ba3"><td class="memItemLeft" align="right" valign="top">float32x4x3_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#afaba543670e99c2483e0bd1996201ba3">load_matrix_row</a> (const float *ptr)</td></tr>
<tr class="separator:afaba543670e99c2483e0bd1996201ba3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac064ba58efa26ec2599bc8f50d3e0851"><td class="memTemplParams" colspan="2">template&lt;unsigned int stridex&gt; </td></tr>
<tr class="memitem:ac064ba58efa26ec2599bc8f50d3e0851"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">convolve_3x3</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, int fixed_point_position)</td></tr>
<tr class="separator:ac064ba58efa26ec2599bc8f50d3e0851"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a60ec1bb53624bf71d2b0bd885e3234d7"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a60ec1bb53624bf71d2b0bd885e3234d7"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a60ec1bb53624bf71d2b0bd885e3234d7">convolve_3x3&lt; 1 &gt;</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, int fixed_point_position)</td></tr>
<tr class="separator:a60ec1bb53624bf71d2b0bd885e3234d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac5a80612d739ca7ab7db7e26c05796e1"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:ac5a80612d739ca7ab7db7e26c05796e1"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ac5a80612d739ca7ab7db7e26c05796e1">convolve_3x3&lt; 2 &gt;</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, int fixed_point_position)</td></tr>
<tr class="separator:ac5a80612d739ca7ab7db7e26c05796e1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adb5abdd9cafbff3bdfc6a5a9ec6bbe5c"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:adb5abdd9cafbff3bdfc6a5a9ec6bbe5c"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#adb5abdd9cafbff3bdfc6a5a9ec6bbe5c">convolve_3x3&lt; 3 &gt;</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, int fixed_point_position)</td></tr>
<tr class="separator:adb5abdd9cafbff3bdfc6a5a9ec6bbe5c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1ac67082e6f68cb7ed1939240fb6bdb5"><td class="memTemplParams" colspan="2">template&lt;unsigned int stridex&gt; </td></tr>
<tr class="memitem:a1ac67082e6f68cb7ed1939240fb6bdb5"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results</a> (float *buffer, const float32x4x2_t &amp;values)</td></tr>
<tr class="memdesc:a1ac67082e6f68cb7ed1939240fb6bdb5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Stores a float32x4x2_t array into a memory location.  <a href="#a1ac67082e6f68cb7ed1939240fb6bdb5">More...</a><br /></td></tr>
<tr class="separator:a1ac67082e6f68cb7ed1939240fb6bdb5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad61a01ef06cc3c41e4bb5006d9307687"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:ad61a01ef06cc3c41e4bb5006d9307687"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ad61a01ef06cc3c41e4bb5006d9307687">store_results&lt; 1 &gt;</a> (float *buffer, const float32x4x2_t &amp;values)</td></tr>
<tr class="separator:ad61a01ef06cc3c41e4bb5006d9307687"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abaf3037739c190361ad3f827d73440a1"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:abaf3037739c190361ad3f827d73440a1"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#abaf3037739c190361ad3f827d73440a1">store_results&lt; 2 &gt;</a> (float *buffer, const float32x4x2_t &amp;values)</td></tr>
<tr class="separator:abaf3037739c190361ad3f827d73440a1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a208468ac4ffbfe19d7fb03402ca927f6"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a208468ac4ffbfe19d7fb03402ca927f6"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a208468ac4ffbfe19d7fb03402ca927f6">store_results&lt; 3 &gt;</a> (float *buffer, const float32x4x2_t &amp;values)</td></tr>
<tr class="separator:a208468ac4ffbfe19d7fb03402ca927f6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a30f6368deaea5f10f9dd1bbaa28c24e6"><td class="memTemplParams" colspan="2">template&lt;unsigned int stridex&gt; </td></tr>
<tr class="memitem:a30f6368deaea5f10f9dd1bbaa28c24e6"><td class="memTemplItemLeft" align="right" valign="top">int&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a30f6368deaea5f10f9dd1bbaa28c24e6">get_input_num_elems_processed</a> (unsigned int num_elems_written_per_iteration)</td></tr>
<tr class="memdesc:a30f6368deaea5f10f9dd1bbaa28c24e6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the number of elements processed on 3x3 convolution.  <a href="#a30f6368deaea5f10f9dd1bbaa28c24e6">More...</a><br /></td></tr>
<tr class="separator:a30f6368deaea5f10f9dd1bbaa28c24e6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7a08a003e6ce7ea86cb7d8f4523c0eb5"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a7a08a003e6ce7ea86cb7d8f4523c0eb5"><td class="memTemplItemLeft" align="right" valign="top">int&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a7a08a003e6ce7ea86cb7d8f4523c0eb5">get_input_num_elems_processed&lt; 1 &gt;</a> (unsigned int num_elems_written_per_iteration)</td></tr>
<tr class="separator:a7a08a003e6ce7ea86cb7d8f4523c0eb5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adbdb2272e2409d0c249ba467eaac81ea"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:adbdb2272e2409d0c249ba467eaac81ea"><td class="memTemplItemLeft" align="right" valign="top">int&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#adbdb2272e2409d0c249ba467eaac81ea">get_input_num_elems_processed&lt; 2 &gt;</a> (unsigned int num_elems_written_per_iteration)</td></tr>
<tr class="separator:adbdb2272e2409d0c249ba467eaac81ea"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae2a6fee9c18f26a5fab56c2d14289705"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:ae2a6fee9c18f26a5fab56c2d14289705"><td class="memTemplItemLeft" align="right" valign="top">int&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ae2a6fee9c18f26a5fab56c2d14289705">get_input_num_elems_processed&lt; 3 &gt;</a> (unsigned int num_elems_written_per_iteration)</td></tr>
<tr class="separator:ae2a6fee9c18f26a5fab56c2d14289705"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5db34f1ae85326efebbe1dadb65f0301"><td class="memItemLeft" align="right" valign="top">float32x4x3_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a5db34f1ae85326efebbe1dadb65f0301">load_matrix_row</a> (const float *ptr, int weights_offset=0)</td></tr>
<tr class="memdesc:a5db34f1ae85326efebbe1dadb65f0301"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a 3x3 matrix as a row (float).  <a href="#a5db34f1ae85326efebbe1dadb65f0301">More...</a><br /></td></tr>
<tr class="separator:a5db34f1ae85326efebbe1dadb65f0301"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae45ede86aac420e1c4f6a0e4ef22bf89"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ae45ede86aac420e1c4f6a0e4ef22bf89">load_matrix_row</a> (const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *ptr, int weights_offset=0)</td></tr>
<tr class="memdesc:ae45ede86aac420e1c4f6a0e4ef22bf89"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a 3x3 matrix as a row (qint8_t).  <a href="#ae45ede86aac420e1c4f6a0e4ef22bf89">More...</a><br /></td></tr>
<tr class="separator:ae45ede86aac420e1c4f6a0e4ef22bf89"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8b01a1b2b7bd61029dfaa8601b23b4fc"><td class="memItemLeft" align="right" valign="top">int32x4x3_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a8b01a1b2b7bd61029dfaa8601b23b4fc">load_matrix_row</a> (const uint8_t *ptr, int weights_offset=0)</td></tr>
<tr class="memdesc:a8b01a1b2b7bd61029dfaa8601b23b4fc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a 3x3 matrix as a row (uint8_t).  <a href="#a8b01a1b2b7bd61029dfaa8601b23b4fc">More...</a><br /></td></tr>
<tr class="separator:a8b01a1b2b7bd61029dfaa8601b23b4fc"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6adc3159d2bd744b87b5ef7b0586cbde"><td class="memTemplParams" colspan="2">template&lt;unsigned int stridex&gt; </td></tr>
<tr class="memitem:a6adc3159d2bd744b87b5ef7b0586cbde"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a6adc3159d2bd744b87b5ef7b0586cbde">convolve_3x3</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, int fixed_point_position, int input_offset=0)</td></tr>
<tr class="memdesc:a6adc3159d2bd744b87b5ef7b0586cbde"><td class="mdescLeft">&#160;</td><td class="mdescRight">Perform a convolve3x3 on float32.  <a href="#a6adc3159d2bd744b87b5ef7b0586cbde">More...</a><br /></td></tr>
<tr class="separator:a6adc3159d2bd744b87b5ef7b0586cbde"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afbf7e212aac5f240183cd299bf7605b2"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:afbf7e212aac5f240183cd299bf7605b2"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#afbf7e212aac5f240183cd299bf7605b2">convolve_3x3&lt; 1 &gt;</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</td></tr>
<tr class="separator:afbf7e212aac5f240183cd299bf7605b2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a48faa5e09999f604e60861f61280cccb"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a48faa5e09999f604e60861f61280cccb"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a48faa5e09999f604e60861f61280cccb">convolve_3x3&lt; 2 &gt;</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</td></tr>
<tr class="separator:a48faa5e09999f604e60861f61280cccb"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a805b176e69c0dc16a074178cc7696f90"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a805b176e69c0dc16a074178cc7696f90"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a805b176e69c0dc16a074178cc7696f90">convolve_3x3&lt; 3 &gt;</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</td></tr>
<tr class="separator:a805b176e69c0dc16a074178cc7696f90"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0ff57ddfb2d3eaa35636098560f55f80"><td class="memTemplParams" colspan="2">template&lt;unsigned int stridex&gt; </td></tr>
<tr class="memitem:a0ff57ddfb2d3eaa35636098560f55f80"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a0ff57ddfb2d3eaa35636098560f55f80">convolve_3x3</a> (const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_top, const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_mid, const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_low, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m0, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m1, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m2, int fixed_point_position, int input_offset=0)</td></tr>
<tr class="memdesc:a0ff57ddfb2d3eaa35636098560f55f80"><td class="mdescLeft">&#160;</td><td class="mdescRight">Perform a convolve3x3 on qint16.  <a href="#a0ff57ddfb2d3eaa35636098560f55f80">More...</a><br /></td></tr>
<tr class="separator:a0ff57ddfb2d3eaa35636098560f55f80"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa6d04df9ad4e5614804f1d2b024bf9c0"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:aa6d04df9ad4e5614804f1d2b024bf9c0"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#aa6d04df9ad4e5614804f1d2b024bf9c0">convolve_3x3&lt; 1 &gt;</a> (const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_top, const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_mid, const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_low, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m0, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m1, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m2, int fixed_point_position, int input_offset)</td></tr>
<tr class="separator:aa6d04df9ad4e5614804f1d2b024bf9c0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4c4333bff8c8b0273fe4fb8edfda519f"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a4c4333bff8c8b0273fe4fb8edfda519f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a4c4333bff8c8b0273fe4fb8edfda519f">convolve_3x3&lt; 2 &gt;</a> (const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_top, const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_mid, const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_low, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m0, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m1, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m2, int fixed_point_position, int input_offset)</td></tr>
<tr class="separator:a4c4333bff8c8b0273fe4fb8edfda519f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a390907972bb44c81928789c7041b833f"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a390907972bb44c81928789c7041b833f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a390907972bb44c81928789c7041b833f">convolve_3x3&lt; 3 &gt;</a> (const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_top, const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_mid, const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *in_low, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m0, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m1, const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;m2, int fixed_point_position, int input_offset)</td></tr>
<tr class="separator:a390907972bb44c81928789c7041b833f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a216fe9450144537e4a3c905645f2cba4"><td class="memTemplParams" colspan="2">template&lt;unsigned int stridex&gt; </td></tr>
<tr class="memitem:a216fe9450144537e4a3c905645f2cba4"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a216fe9450144537e4a3c905645f2cba4">convolve_3x3</a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &amp;m0, const int32x4x3_t &amp;m1, const int32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</td></tr>
<tr class="memdesc:a216fe9450144537e4a3c905645f2cba4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Perform a convolve3x3 on uint8_t.  <a href="#a216fe9450144537e4a3c905645f2cba4">More...</a><br /></td></tr>
<tr class="separator:a216fe9450144537e4a3c905645f2cba4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af083008ad8a1e68fcc677c9186cc5f15"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:af083008ad8a1e68fcc677c9186cc5f15"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">convolve_3x3&lt; 1 &gt;</a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &amp;m0, const int32x4x3_t &amp;m1, const int32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</td></tr>
<tr class="separator:af083008ad8a1e68fcc677c9186cc5f15"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a525f0d09eeeccc1778a884db12bba80e"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a525f0d09eeeccc1778a884db12bba80e"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a525f0d09eeeccc1778a884db12bba80e">convolve_3x3&lt; 2 &gt;</a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &amp;m0, const int32x4x3_t &amp;m1, const int32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</td></tr>
<tr class="separator:a525f0d09eeeccc1778a884db12bba80e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3c0180b145520c851e8e3f1dcd921290"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a3c0180b145520c851e8e3f1dcd921290"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a3c0180b145520c851e8e3f1dcd921290">convolve_3x3&lt; 3 &gt;</a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &amp;m0, const int32x4x3_t &amp;m1, const int32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</td></tr>
<tr class="separator:a3c0180b145520c851e8e3f1dcd921290"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a020054e251a224c271d7115076efd44e"><td class="memTemplParams" colspan="2">template&lt;unsigned int stridex&gt; </td></tr>
<tr class="memitem:a020054e251a224c271d7115076efd44e"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a020054e251a224c271d7115076efd44e">store_results</a> (<a class="el" href="namespacearm__compute.xhtml#a1521eea74b97de8f2df9304e44179400">qint16_t</a> *buffer, const <a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> &amp;values)</td></tr>
<tr class="memdesc:a020054e251a224c271d7115076efd44e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Stores a qint16_t array into a memory location.  <a href="#a020054e251a224c271d7115076efd44e">More...</a><br /></td></tr>
<tr class="separator:a020054e251a224c271d7115076efd44e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0426b57561ac359fddb7bb711c573210"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a0426b57561ac359fddb7bb711c573210"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a0426b57561ac359fddb7bb711c573210">store_results&lt; 1 &gt;</a> (<a class="el" href="namespacearm__compute.xhtml#a1521eea74b97de8f2df9304e44179400">qint16_t</a> *buffer, const <a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> &amp;values)</td></tr>
<tr class="separator:a0426b57561ac359fddb7bb711c573210"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af06cb49ec09ef6d1d425970434086d0a"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:af06cb49ec09ef6d1d425970434086d0a"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#af06cb49ec09ef6d1d425970434086d0a">store_results&lt; 2 &gt;</a> (<a class="el" href="namespacearm__compute.xhtml#a1521eea74b97de8f2df9304e44179400">qint16_t</a> *buffer, const <a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> &amp;values)</td></tr>
<tr class="separator:af06cb49ec09ef6d1d425970434086d0a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abd70ac1509d341ca206da7d421a0b7a9"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:abd70ac1509d341ca206da7d421a0b7a9"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#abd70ac1509d341ca206da7d421a0b7a9">store_results&lt; 3 &gt;</a> (<a class="el" href="namespacearm__compute.xhtml#a1521eea74b97de8f2df9304e44179400">qint16_t</a> *buffer, const <a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> &amp;values)</td></tr>
<tr class="separator:abd70ac1509d341ca206da7d421a0b7a9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa9f26cd83047a111336033fb7466faf1"><td class="memTemplParams" colspan="2">template&lt;unsigned int stridex&gt; </td></tr>
<tr class="memitem:aa9f26cd83047a111336033fb7466faf1"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#aa9f26cd83047a111336033fb7466faf1">store_results</a> (int32_t *buffer, const int32x4x2_t &amp;values)</td></tr>
<tr class="memdesc:aa9f26cd83047a111336033fb7466faf1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Stores a uint32_t array into a memory location.  <a href="#aa9f26cd83047a111336033fb7466faf1">More...</a><br /></td></tr>
<tr class="separator:aa9f26cd83047a111336033fb7466faf1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a143f43b1fb56a8d806145e95d4c3995e"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a143f43b1fb56a8d806145e95d4c3995e"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a143f43b1fb56a8d806145e95d4c3995e">store_results&lt; 1 &gt;</a> (int32_t *buffer, const int32x4x2_t &amp;values)</td></tr>
<tr class="separator:a143f43b1fb56a8d806145e95d4c3995e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af63e34203346681c35b68fcca2026a06"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:af63e34203346681c35b68fcca2026a06"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#af63e34203346681c35b68fcca2026a06">store_results&lt; 2 &gt;</a> (int32_t *buffer, const int32x4x2_t &amp;values)</td></tr>
<tr class="separator:af63e34203346681c35b68fcca2026a06"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a991bde46f2841422fb98258127305050"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
<tr class="memitem:a991bde46f2841422fb98258127305050"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a991bde46f2841422fb98258127305050">store_results&lt; 3 &gt;</a> (int32_t *buffer, const int32x4x2_t &amp;values)</td></tr>
<tr class="separator:a991bde46f2841422fb98258127305050"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a17a8ccb1f281296a0ee7eb00693febbd"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a17a8ccb1f281296a0ee7eb00693febbd">get_input_num_elems_processed</a> (unsigned int num_elems_written_per_iteration, unsigned int stridex)</td></tr>
<tr class="separator:a17a8ccb1f281296a0ee7eb00693febbd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a45d610a8bc262f7007c934293361e888"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
<tr class="memitem:a45d610a8bc262f7007c934293361e888"><td class="memTemplItemLeft" align="right" valign="top">bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a45d610a8bc262f7007c934293361e888">have_different_dimensions</a> (const <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a>&lt; T &gt; &amp;dim1, const <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a>&lt; T &gt; &amp;dim2, unsigned int upper_dim)</td></tr>
<tr class="separator:a45d610a8bc262f7007c934293361e888"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a94a5ba47c282279f5279617b961b8599"><td class="memTemplParams" colspan="2">template&lt;typename F &gt; </td></tr>
<tr class="memitem:a94a5ba47c282279f5279617b961b8599"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a94a5ba47c282279f5279617b961b8599">for_each_error</a> (F &amp;&amp;)</td></tr>
<tr class="separator:a94a5ba47c282279f5279617b961b8599"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2fa22dee7227625fa4516f267235667c"><td class="memTemplParams" colspan="2">template&lt;typename F , typename T , typename... Ts&gt; </td></tr>
<tr class="memitem:a2fa22dee7227625fa4516f267235667c"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a2fa22dee7227625fa4516f267235667c">for_each_error</a> (F &amp;&amp;func, T &amp;&amp;arg, Ts &amp;&amp;...args)</td></tr>
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<h2 class="groupheader">Function Documentation</h2>
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          <td class="memname">float32x4x2_t arm_compute::detail::convolve_3x3 </td>
          <td>(</td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_mid</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_low</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m0</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m2</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>fixed_point_position</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00200">convolve_3x3&lt; 3 &gt;()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00034">load_matrix_row()</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>

</div>
</div>
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          <td class="memname">float32x4x2_t arm_compute::detail::convolve_3x3 </td>
          <td>(</td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_mid</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_low</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m0</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m2</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>fixed_point_position</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>input_offset</em> = <code>0</code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<p>Perform a convolve3x3 on float32. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">in_top</td><td>Pointer to the first row of the input. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">in_mid</td><td>Pointer to the second row of the input. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">in_low</td><td>Pointer to the third row of the input. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m0</td><td>First row of the filter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Second row of the filter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Third row of the filter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>(Optional) Input quantization offset. </td></tr>
  </table>
  </dd>
</dl>

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          <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> arm_compute::detail::convolve_3x3 </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
          <td class="paramname"><em>in_mid</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
          <td class="paramname"><em>in_low</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;&#160;</td>
          <td class="paramname"><em>m0</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;&#160;</td>
          <td class="paramname"><em>m2</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>fixed_point_position</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>input_offset</em> = <code>0</code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Perform a convolve3x3 on qint16. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">in_top</td><td>Pointer to the first row of the input. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">in_mid</td><td>Pointer to the second row of the input. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">in_low</td><td>Pointer to the third row of the input. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m0</td><td>First row of the filter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Second row of the filter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Third row of the filter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>(Optional) Input quantization offset. </td></tr>
  </table>
  </dd>
</dl>

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          <td class="memname">int32x4x2_t arm_compute::detail::convolve_3x3 </td>
          <td>(</td>
          <td class="paramtype">const uint8_t *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint8_t *&#160;</td>
          <td class="paramname"><em>in_mid</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint8_t *&#160;</td>
          <td class="paramname"><em>in_low</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m0</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m2</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>fixed_point_position</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>input_offset</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Perform a convolve3x3 on uint8_t. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">in_top</td><td>Pointer to the first row of the input. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">in_mid</td><td>Pointer to the second row of the input. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">in_low</td><td>Pointer to the third row of the input. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m0</td><td>First row of the filter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Second row of the filter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Third row of the filter. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>(Optional) Input quantization offset. </td></tr>
  </table>
  </dd>
</dl>

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          <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 1 &gt; </td>
          <td>(</td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_mid</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_low</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m0</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m2</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>fixed_point_position</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
  </td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">51</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>.</p>

<p>Referenced by <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00111">convolve_3x3&lt; 2 &gt;()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00121">convolve_3x3&lt; 3 &gt;()</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;{</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(fixed_point_position);</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="keyword">const</span> float32x4x3_t vtop =</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    {</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;        {</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;            vld1q_f32(in_top),</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;            vld1q_f32(in_top + 4),</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;            vld1q_f32(in_top + 8)</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        }</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    };</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="keyword">const</span> float32x4x3_t vmid =</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    {</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        {</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;            vld1q_f32(in_mid),</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;            vld1q_f32(in_mid + 4),</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;            vld1q_f32(in_mid + 8)</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        }</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    };</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keyword">const</span> float32x4x3_t vlow =</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    {</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        {</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;            vld1q_f32(in_low),</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;            vld1q_f32(in_low + 4),</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;            vld1q_f32(in_low + 8)</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        }</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    };</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    float32x4x2_t out =</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    {</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        {</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;            vmulq_f32(vtop.val[0], m0.val[0]),</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;            vmulq_f32(vtop.val[1], m0.val[0])</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;        }</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    };</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 1), m0.val[1]);</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 2), m0.val[2]);</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vmid.val[0], m1.val[0]);</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 1), m1.val[1]);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 2), m1.val[2]);</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vlow.val[0], m2.val[0]);</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 1), m2.val[1]);</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 2), m2.val[2]);</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 1), m0.val[1]);</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 2), m0.val[2]);</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vmid.val[1], m1.val[0]);</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 1), m1.val[1]);</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 2), m1.val[2]);</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vlow.val[1], m2.val[0]);</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 1), m2.val[1]);</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 2), m2.val[2]);</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
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          <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 1 &gt; </td>
          <td>(</td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_mid</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_low</em>, </td>
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          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m0</em>, </td>
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          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
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          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m2</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>fixed_point_position</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>input_offset</em>&#160;</td>
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          <td>)</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00123">123</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>.</p>
<div class="fragment"><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;{</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(fixed_point_position);</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    <span class="keyword">const</span> float32x4x3_t vtop =</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    {</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;        {</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;            vld1q_f32(in_top),</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;            vld1q_f32(in_top + 4),</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;            vld1q_f32(in_top + 8)</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;        }</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    };</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    <span class="keyword">const</span> float32x4x3_t vmid =</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    {</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;        {</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;            vld1q_f32(in_mid),</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;            vld1q_f32(in_mid + 4),</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;            vld1q_f32(in_mid + 8)</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;        }</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    };</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keyword">const</span> float32x4x3_t vlow =</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    {</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        {</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;            vld1q_f32(in_low),</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;            vld1q_f32(in_low + 4),</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;            vld1q_f32(in_low + 8)</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;        }</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    };</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    float32x4x2_t out =</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    {</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;        {</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;            vmulq_f32(vtop.val[0], m0.val[0]),</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;            vmulq_f32(vtop.val[1], m0.val[0])</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;        }</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    };</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 1), m0.val[1]);</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 2), m0.val[2]);</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vmid.val[0], m1.val[0]);</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 1), m1.val[1]);</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 2), m1.val[2]);</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vlow.val[0], m2.val[0]);</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 1), m2.val[1]);</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 2), m2.val[2]);</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 1), m0.val[1]);</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 2), m0.val[2]);</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vmid.val[1], m1.val[0]);</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 1), m1.val[1]);</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 2), m1.val[2]);</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vlow.val[1], m2.val[0]);</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 1), m2.val[1]);</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 2), m2.val[2]);</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
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          <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 1 &gt; </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
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          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
          <td class="paramname"><em>in_mid</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
          <td class="paramname"><em>in_low</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;&#160;</td>
          <td class="paramname"><em>m0</em>, </td>
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          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;&#160;</td>
          <td class="paramname"><em>m2</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>fixed_point_position</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>input_offset</em>&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00229">229</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>, <a class="el" href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">arm_compute::vld1_qs8()</a>, <a class="el" href="namespacearm__compute.xhtml#adedd47ca832ff5041f2e3fb9cecda6e9">arm_compute::vmull_qs8()</a>, and <a class="el" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">arm_compute::vqmlal_qs8()</a>.</p>
<div class="fragment"><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;{</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(fixed_point_position);</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> vtop =</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    {</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;        {</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">vld1_qs8</a>(in_top),</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">vld1_qs8</a>(in_top + 8),</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">vld1_qs8</a>(in_top + 16)</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        }</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;    };</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> vmid =</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    {</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;        {</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">vld1_qs8</a>(in_mid),</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">vld1_qs8</a>(in_mid + 8),</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">vld1_qs8</a>(in_mid + 16)</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;        }</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;    };</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> vlow =</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    {</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;        {</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">vld1_qs8</a>(in_low),</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">vld1_qs8</a>(in_low + 8),</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">vld1_qs8</a>(in_low + 16)</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;        }</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;    };</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> out =</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    {</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        {</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#adedd47ca832ff5041f2e3fb9cecda6e9">vmull_qs8</a>(vtop.val[0], m0.val[0], fixed_point_position),</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#adedd47ca832ff5041f2e3fb9cecda6e9">vmull_qs8</a>(vtop.val[1], m0.val[0], fixed_point_position)</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;        }</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    };</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;    out.val[0] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[0], vext_s8(vtop.val[0], vtop.val[1], 1), m0.val[1], fixed_point_position);</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;    out.val[0] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[0], vext_s8(vtop.val[0], vtop.val[1], 2), m0.val[2], fixed_point_position);</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;    out.val[0] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[0], vmid.val[0], m1.val[0], fixed_point_position);</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    out.val[0] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[0], vext_s8(vmid.val[0], vmid.val[1], 1), m1.val[1], fixed_point_position);</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;    out.val[0] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[0], vext_s8(vmid.val[0], vmid.val[1], 2), m1.val[2], fixed_point_position);</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    out.val[0] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[0], vlow.val[0], m2.val[0], fixed_point_position);</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    out.val[0] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[0], vext_s8(vlow.val[0], vlow.val[1], 1), m2.val[1], fixed_point_position);</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    out.val[0] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[0], vext_s8(vlow.val[0], vlow.val[1], 2), m2.val[2], fixed_point_position);</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;    out.val[1] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[1], vext_s8(vtop.val[1], vtop.val[2], 1), m0.val[1], fixed_point_position);</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    out.val[1] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[1], vext_s8(vtop.val[1], vtop.val[2], 2), m0.val[2], fixed_point_position);</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    out.val[1] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[1], vmid.val[1], m1.val[0], fixed_point_position);</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;    out.val[1] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[1], vext_s8(vmid.val[1], vmid.val[2], 1), m1.val[1], fixed_point_position);</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    out.val[1] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[1], vext_s8(vmid.val[1], vmid.val[2], 2), m1.val[2], fixed_point_position);</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    out.val[1] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[1], vlow.val[1], m2.val[0], fixed_point_position);</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;    out.val[1] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[1], vext_s8(vlow.val[1], vlow.val[2], 1), m2.val[1], fixed_point_position);</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    out.val[1] = <a class="code" href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">vqmlal_qs8</a>(out.val[1], vext_s8(vlow.val[1], vlow.val[2], 2), m2.val[2], fixed_point_position);</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;}</div><div class="ttc" id="namespacearm__compute_xhtml_a3c4099e91913f28017e1f57b8e5cbf9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">arm_compute::qint16x8x2_t</a></div><div class="ttdeci">int16x8x2_t qint16x8x2_t</div><div class="ttdoc">16 bit fixed point vector with 16 elements </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fixed_point_8h_source.xhtml#l00046">NEFixedPoint.h:46</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a36fd8142f6f27eb7a663f6d1c2dbd0ff"><div class="ttname"><a href="namespacearm__compute.xhtml#a36fd8142f6f27eb7a663f6d1c2dbd0ff">arm_compute::vld1_qs8</a></div><div class="ttdeci">qint8x8_t vld1_qs8(const qint8_t *addr)</div><div class="ttdoc">Load a single 8 bit fixed point vector from memory (8 elements) </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_adedd47ca832ff5041f2e3fb9cecda6e9"><div class="ttname"><a href="namespacearm__compute.xhtml#adedd47ca832ff5041f2e3fb9cecda6e9">arm_compute::vmull_qs8</a></div><div class="ttdeci">qint16x8_t vmull_qs8(qint8x8_t a, qint8x8_t b, int fixed_point_position)</div><div class="ttdoc">8 bit fixed point vector long multiply (8 elements) </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a2e9b5e17434f8beaf1010d256b4b41c2"><div class="ttname"><a href="namespacearm__compute.xhtml#a2e9b5e17434f8beaf1010d256b4b41c2">arm_compute::vqmlal_qs8</a></div><div class="ttdeci">qint16x8_t vqmlal_qs8(qint16x8_t a, qint8x8_t b, qint8x8_t c, int fixed_point_position)</div><div class="ttdoc">8 bit fixed point vector saturating multiply-accumulate long (8 elements). </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a252c74fae9a9238ef7c23d306e670706"><div class="ttname"><a href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">arm_compute::qint8x8x3_t</a></div><div class="ttdeci">int8x8x3_t qint8x8x3_t</div><div class="ttdoc">8 bit fixed point vector with 24 elements </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fixed_point_8h_source.xhtml#l00035">NEFixedPoint.h:35</a></div></div>
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          <td class="memname">int32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 1 &gt; </td>
          <td>(</td>
          <td class="paramtype">const uint8_t *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint8_t *&#160;</td>
          <td class="paramname"><em>in_mid</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const uint8_t *&#160;</td>
          <td class="paramname"><em>in_low</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m0</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m2</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>fixed_point_position</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>input_offset</em>&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00336">336</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>.</p>
<div class="fragment"><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;{</div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(fixed_point_position);</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;    <span class="keyword">const</span> int32x4_t v_input_offset = vdupq_n_s32(input_offset);</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;</div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;    <span class="keyword">const</span> uint8x8x2_t vtop =</div><div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;    {</div><div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;        {</div><div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;            vld1_u8(in_top),</div><div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;            vld1_u8(in_top + 8)</div><div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;        }</div><div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;    };</div><div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;    <span class="keyword">const</span> uint8x8x2_t vmid =</div><div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;    {</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;        {</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;            vld1_u8(in_mid),</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;            vld1_u8(in_mid + 8)</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;        }</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;    };</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;    <span class="keyword">const</span> uint8x8x2_t vlow =</div><div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;    {</div><div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;        {</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;            vld1_u8(in_low),</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;            vld1_u8(in_low + 8)</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;        }</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;    };</div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;    <span class="keyword">const</span> int32x4x3_t vtop_s32 =</div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;    {</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;        {</div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;            vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[0])))),</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;            vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vtop.val[0])))),</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;            vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[1])))),</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;        }</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;    };</div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;    <span class="keyword">const</span> int32x4x3_t vmid_s32 =</div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;    {</div><div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;        {</div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;            vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[0])))),</div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;            vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vmid.val[0])))),</div><div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;            vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[1])))),</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;        }</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;    };</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;    <span class="keyword">const</span> int32x4x3_t vlow_s32 =</div><div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;    {</div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;        {</div><div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;            vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[0])))),</div><div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;            vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vlow.val[0])))),</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;            vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[1])))),</div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;        }</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;    };</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;</div><div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;    int32x4x2_t out</div><div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;    {</div><div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;        {</div><div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;            vdupq_n_s32(0),</div><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;            vdupq_n_s32(0),</div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;        }</div><div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;    };</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;</div><div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;    <span class="comment">// 0</span></div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;    out.val[0] = vmlaq_s32(out.val[0], vtop_s32.val[0], m0.val[0]);</div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;    out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vtop_s32.val[0], vtop_s32.val[1], 1), m0.val[1]);</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;    out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vtop_s32.val[0], vtop_s32.val[1], 2), m0.val[2]);</div><div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;</div><div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;    out.val[0] = vmlaq_s32(out.val[0], vmid_s32.val[0], m1.val[0]);</div><div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;    out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vmid_s32.val[0], vmid_s32.val[1], 1), m1.val[1]);</div><div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;    out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vmid_s32.val[0], vmid_s32.val[1], 2), m1.val[2]);</div><div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;</div><div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;    out.val[0] = vmlaq_s32(out.val[0], vlow_s32.val[0], m2.val[0]);</div><div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;    out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vlow_s32.val[0], vlow_s32.val[1], 1), m2.val[1]);</div><div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;    out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vlow_s32.val[0], vlow_s32.val[1], 2), m2.val[2]);</div><div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;</div><div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    <span class="comment">// 1</span></div><div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;    out.val[1] = vmlaq_s32(out.val[1], vtop_s32.val[1], m0.val[0]);</div><div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;    out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vtop_s32.val[1], vtop_s32.val[2], 1), m0.val[1]);</div><div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;    out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vtop_s32.val[1], vtop_s32.val[2], 2), m0.val[2]);</div><div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;</div><div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;    out.val[1] = vmlaq_s32(out.val[1], vmid_s32.val[1], m1.val[0]);</div><div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;    out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vmid_s32.val[1], vmid_s32.val[2], 1), m1.val[1]);</div><div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;    out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vmid_s32.val[1], vmid_s32.val[2], 2), m1.val[2]);</div><div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;</div><div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;    out.val[1] = vmlaq_s32(out.val[1], vlow_s32.val[1], m2.val[0]);</div><div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;    out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vlow_s32.val[1], vlow_s32.val[2], 1), m2.val[1]);</div><div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;    out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vlow_s32.val[1], vlow_s32.val[2], 2), m2.val[2]);</div><div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;</div><div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
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          <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 2 &gt; </td>
          <td>(</td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
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          <td class="paramtype">const float *&#160;</td>
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          <td class="paramtype">const float *&#160;</td>
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          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m0</em>, </td>
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          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
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          <td class="paramname"><em>m2</em>, </td>
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          <td class="paramname"><em>fixed_point_position</em>&#160;</td>
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          <td>)</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00111">111</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p>

<p>References <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3&lt; 1 &gt;()</a>.</p>

<p>Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;{</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    float32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#a60ec1bb53624bf71d2b0bd885e3234d7">convolve_3x3&lt;1&gt;</a>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position);</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    out.val[0]        = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    out.val[0]        = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 0), out.val[0], 2);</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    out.val[0]        = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 2), out.val[0], 3);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a60ec1bb53624bf71d2b0bd885e3234d7"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a60ec1bb53624bf71d2b0bd885e3234d7">arm_compute::detail::convolve_3x3&lt; 1 &gt;</a></div><div class="ttdeci">float32x4x2_t convolve_3x3&lt; 1 &gt;(const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, int fixed_point_position)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">NEDirectConvolution3x3.h:51</a></div></div>
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          <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 2 &gt; </td>
          <td>(</td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
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          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_mid</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float *&#160;</td>
          <td class="paramname"><em>in_low</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m0</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
          <td class="paramname"><em>m2</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>fixed_point_position</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>input_offset</em>&#160;</td>
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          <td>)</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00186">186</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3&lt; 1 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;{</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    float32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">convolve_3x3&lt;1&gt;</a>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset);</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    out.val[0]        = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    out.val[0]        = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 0), out.val[0], 2);</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    out.val[0]        = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 2), out.val[0], 3);</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_af083008ad8a1e68fcc677c9186cc5f15"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">arm_compute::detail::convolve_3x3&lt; 1 &gt;</a></div><div class="ttdeci">int32x4x2_t convolve_3x3&lt; 1 &gt;(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &amp;m0, const int32x4x3_t &amp;m1, const int32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00336">NEDirectConvolutionDetail.h:336</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
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          <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 2 &gt; </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
          <td class="paramname"><em>in_top</em>, </td>
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          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
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          <td class="paramkey"></td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00287">287</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3&lt; 1 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;{</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;</div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">convolve_3x3&lt;1&gt;</a>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset);</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;    out.val[0]       = vsetq_lane_s16(vgetq_lane_s16(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    out.val[0]       = vsetq_lane_s16(vgetq_lane_s16(out.val[0], 4), out.val[0], 2);</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;    out.val[0]       = vsetq_lane_s16(vgetq_lane_s16(out.val[0], 6), out.val[0], 3);</div><div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    out.val[0]       = vsetq_lane_s16(vgetq_lane_s16(out.val[1], 0), out.val[0], 4);</div><div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    out.val[0]       = vsetq_lane_s16(vgetq_lane_s16(out.val[1], 2), out.val[0], 5);</div><div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    out.val[0]       = vsetq_lane_s16(vgetq_lane_s16(out.val[1], 4), out.val[0], 6);</div><div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;    out.val[0]       = vsetq_lane_s16(vgetq_lane_s16(out.val[1], 6), out.val[0], 7);</div><div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;}</div><div class="ttc" id="namespacearm__compute_xhtml_a3c4099e91913f28017e1f57b8e5cbf9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">arm_compute::qint16x8x2_t</a></div><div class="ttdeci">int16x8x2_t qint16x8x2_t</div><div class="ttdoc">16 bit fixed point vector with 16 elements </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fixed_point_8h_source.xhtml#l00046">NEFixedPoint.h:46</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_af083008ad8a1e68fcc677c9186cc5f15"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">arm_compute::detail::convolve_3x3&lt; 1 &gt;</a></div><div class="ttdeci">int32x4x2_t convolve_3x3&lt; 1 &gt;(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &amp;m0, const int32x4x3_t &amp;m1, const int32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00336">NEDirectConvolutionDetail.h:336</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
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          <td class="memname">int32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 2 &gt; </td>
          <td>(</td>
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          <td class="paramtype">const int32x4x3_t &amp;&#160;</td>
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          <td class="paramtype">const int32x4x3_t &amp;&#160;</td>
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          <td class="paramtype">int&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00428">428</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3&lt; 1 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;{</div><div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(fixed_point_position);</div><div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;</div><div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;    int32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">convolve_3x3&lt;1&gt;</a>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset);</div><div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;    out.val[0]      = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;    out.val[0]      = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 0), out.val[0], 2);</div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;    out.val[0]      = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 2), out.val[0], 3);</div><div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_af083008ad8a1e68fcc677c9186cc5f15"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">arm_compute::detail::convolve_3x3&lt; 1 &gt;</a></div><div class="ttdeci">int32x4x2_t convolve_3x3&lt; 1 &gt;(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &amp;m0, const int32x4x3_t &amp;m1, const int32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00336">NEDirectConvolutionDetail.h:336</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
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          <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 3 &gt; </td>
          <td>(</td>
          <td class="paramtype">const float *&#160;</td>
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          <td class="paramtype">const float *&#160;</td>
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          <td class="paramkey"></td>
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          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
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          <td class="paramtype">const float32x4x3_t &amp;&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00121">121</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p>

<p>References <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3&lt; 1 &gt;()</a>, and <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results()</a>.</p>

<p>Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;{</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    float32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#a60ec1bb53624bf71d2b0bd885e3234d7">convolve_3x3&lt;1&gt;</a>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position);</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    out.val[0]        = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a60ec1bb53624bf71d2b0bd885e3234d7"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a60ec1bb53624bf71d2b0bd885e3234d7">arm_compute::detail::convolve_3x3&lt; 1 &gt;</a></div><div class="ttdeci">float32x4x2_t convolve_3x3&lt; 1 &gt;(const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &amp;m0, const float32x4x3_t &amp;m1, const float32x4x3_t &amp;m2, int fixed_point_position)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">NEDirectConvolution3x3.h:51</a></div></div>
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          <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 3 &gt; </td>
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          <td class="paramtype">const float *&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00200">200</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>, <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">convolve_3x3()</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3&lt; 1 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;{</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    float32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">convolve_3x3&lt;1&gt;</a>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset);</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    out.val[0]        = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_af083008ad8a1e68fcc677c9186cc5f15"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">arm_compute::detail::convolve_3x3&lt; 1 &gt;</a></div><div class="ttdeci">int32x4x2_t convolve_3x3&lt; 1 &gt;(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &amp;m0, const int32x4x3_t &amp;m1, const int32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00336">NEDirectConvolutionDetail.h:336</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
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          <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 3 &gt; </td>
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          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
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          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
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          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4c3f681c30c9398c45bc3cd5dc4f038a">qint8_t</a> *&#160;</td>
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          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;&#160;</td>
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          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;&#160;</td>
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          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> &amp;&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00305">305</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>, <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">convolve_3x3()</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3&lt; 1 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;{</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">convolve_3x3&lt;1&gt;</a>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset);</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;    out.val[0]       = vsetq_lane_s16(vgetq_lane_s16(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;    out.val[0]       = vsetq_lane_s16(vgetq_lane_s16(out.val[0], 6), out.val[0], 2);</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;    out.val[0]       = vsetq_lane_s16(vgetq_lane_s16(out.val[1], 1), out.val[0], 3);</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;}</div><div class="ttc" id="namespacearm__compute_xhtml_a3c4099e91913f28017e1f57b8e5cbf9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">arm_compute::qint16x8x2_t</a></div><div class="ttdeci">int16x8x2_t qint16x8x2_t</div><div class="ttdoc">16 bit fixed point vector with 16 elements </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fixed_point_8h_source.xhtml#l00046">NEFixedPoint.h:46</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_af083008ad8a1e68fcc677c9186cc5f15"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">arm_compute::detail::convolve_3x3&lt; 1 &gt;</a></div><div class="ttdeci">int32x4x2_t convolve_3x3&lt; 1 &gt;(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &amp;m0, const int32x4x3_t &amp;m1, const int32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00336">NEDirectConvolutionDetail.h:336</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
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          <td class="memname">int32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">arm_compute::detail::convolve_3x3</a>&lt; 3 &gt; </td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00442">442</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3&lt; 1 &gt;()</a>, <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00132">store_results&lt; 1 &gt;()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00139">store_results&lt; 2 &gt;()</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00145">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;{</div><div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(fixed_point_position);</div><div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;    int32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">convolve_3x3&lt;1&gt;</a>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset);</div><div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;    out.val[0]      = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;    <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_af083008ad8a1e68fcc677c9186cc5f15"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#af083008ad8a1e68fcc677c9186cc5f15">arm_compute::detail::convolve_3x3&lt; 1 &gt;</a></div><div class="ttdeci">int32x4x2_t convolve_3x3&lt; 1 &gt;(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &amp;m0, const int32x4x3_t &amp;m1, const int32x4x3_t &amp;m2, int fixed_point_position, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00336">NEDirectConvolutionDetail.h:336</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
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          <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a> arm_compute::detail::for_each_error </td>
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<p>Definition at line <a class="el" href="_validate_8h_source.xhtml#l00108">108</a> of file <a class="el" href="_validate_8h_source.xhtml">Validate.h</a>.</p>

<p>Referenced by <a class="el" href="_validate_8h_source.xhtml#l00280">arm_compute::error_on_mismatching_dimensions()</a>, and <a class="el" href="_validate_8h_source.xhtml#l00114">for_each_error()</a>.</p>
<div class="fragment"><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;{</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a>{};</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00051">Error.h:51</a></div></div>
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          <td>(</td>
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          <td class="paramtype">Ts &amp;&amp;...&#160;</td>
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<p>Definition at line <a class="el" href="_validate_8h_source.xhtml#l00114">114</a> of file <a class="el" href="_validate_8h_source.xhtml">Validate.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00192">ARM_COMPUTE_RETURN_ON_ERROR</a>, and <a class="el" href="_validate_8h_source.xhtml#l00108">for_each_error()</a>.</p>
<div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;{</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(func(arg));</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(<a class="code" href="namespacearm__compute_1_1detail.xhtml#a2fa22dee7227625fa4516f267235667c">for_each_error</a>(func, args...));</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a>{};</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00192">Error.h:192</a></div></div>
<div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00051">Error.h:51</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a2fa22dee7227625fa4516f267235667c"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a2fa22dee7227625fa4516f267235667c">arm_compute::detail::for_each_error</a></div><div class="ttdeci">arm_compute::Status for_each_error(F &amp;&amp;func, T &amp;&amp;arg, Ts &amp;&amp;...args)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00114">Validate.h:114</a></div></div>
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          <td class="memname">int get_input_num_elems_processed </td>
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<p>Get the number of elements processed on 3x3 convolution. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<dl class="section return"><dt>Returns</dt><dd>The number of elements processed. </dd></dl>

<p>Referenced by <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00145">store_results&lt; 3 &gt;()</a>.</p>

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          <td class="paramtype">unsigned int&#160;</td>
          <td class="paramname"><em>stridex</em>&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00704">704</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00260">ARM_COMPUTE_ERROR</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00154">get_input_num_elems_processed&lt; 1 &gt;()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00160">get_input_num_elems_processed&lt; 2 &gt;()</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00166">get_input_num_elems_processed&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;{</div><div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;    <span class="keywordflow">switch</span>(stridex)</div><div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;    {</div><div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;        <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#a7a08a003e6ce7ea86cb7d8f4523c0eb5">get_input_num_elems_processed&lt;1&gt;</a>(num_elems_written_per_iteration);</div><div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;        <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#adbdb2272e2409d0c249ba467eaac81ea">get_input_num_elems_processed&lt;2&gt;</a>(num_elems_written_per_iteration);</div><div class="line"><a name="l00712"></a><span class="lineno">  712</span>&#160;        <span class="keywordflow">case</span> 3:</div><div class="line"><a name="l00713"></a><span class="lineno">  713</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#ae2a6fee9c18f26a5fab56c2d14289705">get_input_num_elems_processed&lt;3&gt;</a>(num_elems_written_per_iteration);</div><div class="line"><a name="l00714"></a><span class="lineno">  714</span>&#160;        <span class="keywordflow">default</span>:</div><div class="line"><a name="l00715"></a><span class="lineno">  715</span>&#160;            <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;stridex not supported&quot;</span>);</div><div class="line"><a name="l00716"></a><span class="lineno">  716</span>&#160;            <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00717"></a><span class="lineno">  717</span>&#160;    }</div><div class="line"><a name="l00718"></a><span class="lineno">  718</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00260">Error.h:260</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_ae2a6fee9c18f26a5fab56c2d14289705"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#ae2a6fee9c18f26a5fab56c2d14289705">arm_compute::detail::get_input_num_elems_processed&lt; 3 &gt;</a></div><div class="ttdeci">int get_input_num_elems_processed&lt; 3 &gt;(unsigned int num_elems_written_per_iteration)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00166">NEDirectConvolution3x3.h:166</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_adbdb2272e2409d0c249ba467eaac81ea"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#adbdb2272e2409d0c249ba467eaac81ea">arm_compute::detail::get_input_num_elems_processed&lt; 2 &gt;</a></div><div class="ttdeci">int get_input_num_elems_processed&lt; 2 &gt;(unsigned int num_elems_written_per_iteration)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00160">NEDirectConvolution3x3.h:160</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a7a08a003e6ce7ea86cb7d8f4523c0eb5"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a7a08a003e6ce7ea86cb7d8f4523c0eb5">arm_compute::detail::get_input_num_elems_processed&lt; 1 &gt;</a></div><div class="ttdeci">int get_input_num_elems_processed&lt; 1 &gt;(unsigned int num_elems_written_per_iteration)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00154">NEDirectConvolution3x3.h:154</a></div></div>
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          <td class="memname">int <a class="el" href="namespacearm__compute_1_1detail.xhtml#a30f6368deaea5f10f9dd1bbaa28c24e6">get_input_num_elems_processed</a>&lt; 1 &gt; </td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00154">154</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p>

<p>Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00704">get_input_num_elems_processed()</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;{</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <span class="keywordflow">return</span> num_elems_written_per_iteration;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;}</div></div><!-- fragment -->
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          <td class="memname">int <a class="el" href="namespacearm__compute_1_1detail.xhtml#a30f6368deaea5f10f9dd1bbaa28c24e6">get_input_num_elems_processed</a>&lt; 2 &gt; </td>
          <td>(</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00160">160</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p>

<p>Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00704">get_input_num_elems_processed()</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;{</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    <span class="keywordflow">return</span> num_elems_written_per_iteration &lt;&lt; 1;</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;}</div></div><!-- fragment -->
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          <td class="memname">int <a class="el" href="namespacearm__compute_1_1detail.xhtml#a30f6368deaea5f10f9dd1bbaa28c24e6">get_input_num_elems_processed</a>&lt; 3 &gt; </td>
          <td>(</td>
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          <td class="paramname"><em>num_elems_written_per_iteration</em></td><td>)</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00166">166</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p>

<p>Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00704">get_input_num_elems_processed()</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;{</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <span class="keywordflow">return</span> num_elems_written_per_iteration * 3;</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;}</div></div><!-- fragment -->
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          <td class="memname">bool arm_compute::detail::have_different_dimensions </td>
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<p>Definition at line <a class="el" href="_validate_8h_source.xhtml#l00051">51</a> of file <a class="el" href="_validate_8h_source.xhtml">Validate.h</a>.</p>

<p>Referenced by <a class="el" href="_validate_8h_source.xhtml#l00403">arm_compute::error_on_mismatching_shapes()</a>, <a class="el" href="_validate_8h_source.xhtml#l00303">arm_compute::error_on_tensors_not_even()</a>, <a class="el" href="_validate_8h_source.xhtml#l00336">arm_compute::error_on_tensors_not_subsampled()</a>, and <a class="el" href="_validate_8h_source.xhtml#l00093">compare_dimension&lt; T &gt;::operator()()</a>.</p>
<div class="fragment"><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;{</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = upper_dim; i &lt; arm_compute::Dimensions&lt;T&gt;::num_max_dimensions; ++i)</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    {</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;        <span class="keywordflow">if</span>(dim1[i] != dim2[i])</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;        {</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        }</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    }</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;}</div></div><!-- fragment -->
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          <td class="memname">float32x4x3_t arm_compute::detail::load_matrix_row </td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00034">34</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p>

<p>References <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">convolve_3x3()</a>.</p>

<p>Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    <span class="keyword">const</span> float32x4x3_t r =</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    {</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;        {</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;            vld1q_dup_f32(ptr),</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;            vld1q_dup_f32(1 + ptr),</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;            vld1q_dup_f32(2 + ptr)</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;        }</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    };</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <span class="keywordflow">return</span> r;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;}</div></div><!-- fragment -->
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<p>Loads a 3x3 matrix as a row (float). </p>
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    <tr><td class="paramdir">[in]</td><td class="paramname">ptr</td><td>Pointer to a float 3x3 matrix. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">weights_offset</td><td>(Optional) Weights quantization offset.</td></tr>
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<dl class="section return"><dt>Returns</dt><dd>The loaded matrix. </dd></dl>

<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00044">44</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>.</p>
<div class="fragment"><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(weights_offset);</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <span class="keyword">const</span> float32x4x3_t r =</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    {</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        {</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;            vld1q_dup_f32(ptr),</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;            vld1q_dup_f32(1 + ptr),</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;            vld1q_dup_f32(2 + ptr)</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        }</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    };</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="keywordflow">return</span> r;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
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          <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> arm_compute::detail::load_matrix_row </td>
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<p>Loads a 3x3 matrix as a row (qint8_t). </p>
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    <tr><td class="paramdir">[in]</td><td class="paramname">ptr</td><td>Pointer to a qint8 3x3 matrix. </td></tr>
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<dl class="section return"><dt>Returns</dt><dd>The loaded matrix. </dd></dl>

<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00065">65</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>, and <a class="el" href="namespacearm__compute.xhtml#ae6b66e4796e08d83db8fe89721e33d00">arm_compute::vld1_dup_qs8()</a>.</p>
<div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;{</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(weights_offset);</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="comment">/* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes:</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="comment">       r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */</span></div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">qint8x8x3_t</a> r =</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    {</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        {</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#ae6b66e4796e08d83db8fe89721e33d00">vld1_dup_qs8</a>(ptr),</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#ae6b66e4796e08d83db8fe89721e33d00">vld1_dup_qs8</a>(1 + ptr),</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#ae6b66e4796e08d83db8fe89721e33d00">vld1_dup_qs8</a>(2 + ptr)</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        }</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    };</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <span class="keywordflow">return</span> r;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00159">Error.h:159</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a252c74fae9a9238ef7c23d306e670706"><div class="ttname"><a href="namespacearm__compute.xhtml#a252c74fae9a9238ef7c23d306e670706">arm_compute::qint8x8x3_t</a></div><div class="ttdeci">int8x8x3_t qint8x8x3_t</div><div class="ttdoc">8 bit fixed point vector with 24 elements </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fixed_point_8h_source.xhtml#l00035">NEFixedPoint.h:35</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ae6b66e4796e08d83db8fe89721e33d00"><div class="ttname"><a href="namespacearm__compute.xhtml#ae6b66e4796e08d83db8fe89721e33d00">arm_compute::vld1_dup_qs8</a></div><div class="ttdeci">qint8x8_t vld1_dup_qs8(const qint8_t *addr)</div><div class="ttdoc">Load all lanes of 8 bit fixed point vector with same value from memory (8 elements) ...</div></div>
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<p>Loads a 3x3 matrix as a row (uint8_t). </p>
<dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramdir">[in]</td><td class="paramname">ptr</td><td>Pointer to a uint8_t 3x3 matrix. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">weights_offset</td><td>(Optional) Weights quantization offset.</td></tr>
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<dl class="section return"><dt>Returns</dt><dd>The loaded matrix. </dd></dl>

<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00088">88</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">convolve_3x3()</a>.</p>
<div class="fragment"><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;{</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <span class="keyword">const</span> int32x4_t v_weights_offset = vdupq_n_s32(weights_offset);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <span class="comment">/* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes:</span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="comment">       r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */</span></div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    int32x4x3_t r =</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    {</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        {</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;            vaddq_s32(v_weights_offset, vdupq_n_s32(*ptr)),</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;            vaddq_s32(v_weights_offset, vdupq_n_s32(*(ptr + 1))),</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;            vaddq_s32(v_weights_offset, vdupq_n_s32(*(ptr + 2)))</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        }</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    };</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <span class="keywordflow">return</span> r;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;}</div></div><!-- fragment -->
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          <td class="memname">void store_results </td>
          <td>(</td>
          <td class="paramtype">float *&#160;</td>
          <td class="paramname"><em>buffer</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">const float32x4x2_t &amp;&#160;</td>
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<p>Stores a float32x4x2_t array into a memory location. </p>
<dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramdir">[in]</td><td class="paramname">buffer</td><td>Pointer to the memory location where the values will be stored. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">values</td><td>Values that will be stored. </td></tr>
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<p>Referenced by <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00121">convolve_3x3&lt; 3 &gt;()</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00503">store_results&lt; 3 &gt;()</a>.</p>

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          <td>(</td>
          <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a1521eea74b97de8f2df9304e44179400">qint16_t</a> *&#160;</td>
          <td class="paramname"><em>buffer</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> &amp;&#160;</td>
          <td class="paramname"><em>values</em>&#160;</td>
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<p>Stores a qint16_t array into a memory location. </p>
<dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramdir">[in]</td><td class="paramname">buffer</td><td>Pointer to the memory location where the values will be stored. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">values</td><td>Values that will be stored. </td></tr>
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          <td class="paramtype">int32_t *&#160;</td>
          <td class="paramname"><em>buffer</em>, </td>
        </tr>
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          <td></td>
          <td class="paramtype">const int32x4x2_t &amp;&#160;</td>
          <td class="paramname"><em>values</em>&#160;</td>
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<p>Stores a uint32_t array into a memory location. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">buffer</td><td>Pointer to the memory location where the values will be stored. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">values</td><td>Values that will be stored. </td></tr>
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          <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results</a>&lt; 1 &gt; </td>
          <td>(</td>
          <td class="paramtype">float *&#160;</td>
          <td class="paramname"><em>buffer</em>, </td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00132">132</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p>

<p>Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00442">convolve_3x3&lt; 3 &gt;()</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;{</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    vst1q_f32(buffer, values.val[0]);</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    vst1q_f32(buffer + 4, values.val[1]);</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;}</div></div><!-- fragment -->
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          <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">arm_compute::detail::store_results</a>&lt; 1 &gt; </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a1521eea74b97de8f2df9304e44179400">qint16_t</a> *&#160;</td>
          <td class="paramname"><em>buffer</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> &amp;&#160;</td>
          <td class="paramname"><em>values</em>&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00490">490</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="namespacearm__compute.xhtml#af3bb253fc02f0f58278794832cff641c">arm_compute::vst1q_qs16()</a>.</p>
<div class="fragment"><div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;{</div><div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#af3bb253fc02f0f58278794832cff641c">vst1q_qs16</a>(buffer, values.val[0]);</div><div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#af3bb253fc02f0f58278794832cff641c">vst1q_qs16</a>(buffer + 8, values.val[1]);</div><div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;}</div><div class="ttc" id="namespacearm__compute_xhtml_af3bb253fc02f0f58278794832cff641c"><div class="ttname"><a href="namespacearm__compute.xhtml#af3bb253fc02f0f58278794832cff641c">arm_compute::vst1q_qs16</a></div><div class="ttdeci">void vst1q_qs16(qint16_t *addr, qint16x8_t b)</div><div class="ttdoc">Store a single 16 bit fixed point vector to memory (8 elements) </div></div>
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          <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">arm_compute::detail::store_results</a>&lt; 1 &gt; </td>
          <td>(</td>
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          <td class="paramname"><em>buffer</em>, </td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00518">518</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>
<div class="fragment"><div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;{</div><div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;    vst1q_s32(buffer, values.val[0]);</div><div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;    vst1q_s32(buffer + 4, values.val[1]);</div><div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;}</div></div><!-- fragment -->
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          <td>(</td>
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          <td class="paramname"><em>buffer</em>, </td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00139">139</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p>

<p>Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00442">convolve_3x3&lt; 3 &gt;()</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;{</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    vst1q_f32(buffer, values.val[0]);</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;}</div></div><!-- fragment -->
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          <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">arm_compute::detail::store_results</a>&lt; 2 &gt; </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a1521eea74b97de8f2df9304e44179400">qint16_t</a> *&#160;</td>
          <td class="paramname"><em>buffer</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> &amp;&#160;</td>
          <td class="paramname"><em>values</em>&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00497">497</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="namespacearm__compute.xhtml#af3bb253fc02f0f58278794832cff641c">arm_compute::vst1q_qs16()</a>.</p>
<div class="fragment"><div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;{</div><div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#af3bb253fc02f0f58278794832cff641c">vst1q_qs16</a>(buffer, values.val[0]);</div><div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;}</div><div class="ttc" id="namespacearm__compute_xhtml_af3bb253fc02f0f58278794832cff641c"><div class="ttname"><a href="namespacearm__compute.xhtml#af3bb253fc02f0f58278794832cff641c">arm_compute::vst1q_qs16</a></div><div class="ttdeci">void vst1q_qs16(qint16_t *addr, qint16x8_t b)</div><div class="ttdoc">Store a single 16 bit fixed point vector to memory (8 elements) </div></div>
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          <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">arm_compute::detail::store_results</a>&lt; 2 &gt; </td>
          <td>(</td>
          <td class="paramtype">int32_t *&#160;</td>
          <td class="paramname"><em>buffer</em>, </td>
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          <td class="paramtype">const int32x4x2_t &amp;&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00525">525</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>
<div class="fragment"><div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;{</div><div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;    vst1q_s32(buffer, values.val[0]);</div><div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;}</div></div><!-- fragment -->
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          <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results</a>&lt; 3 &gt; </td>
          <td>(</td>
          <td class="paramtype">float *&#160;</td>
          <td class="paramname"><em>buffer</em>, </td>
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          <td class="paramtype">const float32x4x2_t &amp;&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00145">145</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p>

<p>References <a class="el" href="namespacearm__compute_1_1detail.xhtml#a30f6368deaea5f10f9dd1bbaa28c24e6">get_input_num_elems_processed()</a>.</p>

<p>Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00442">convolve_3x3&lt; 3 &gt;()</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;{</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    vst1_f32(buffer, vget_low_f32(values.val[0]));</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;}</div></div><!-- fragment -->
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          <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">arm_compute::detail::store_results</a>&lt; 3 &gt; </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a1521eea74b97de8f2df9304e44179400">qint16_t</a> *&#160;</td>
          <td class="paramname"><em>buffer</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a3c4099e91913f28017e1f57b8e5cbf9f">qint16x8x2_t</a> &amp;&#160;</td>
          <td class="paramname"><em>values</em>&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00503">503</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results()</a>, and <a class="el" href="namespacearm__compute.xhtml#a5002d49f346614198f3e8b475f27a7eb">arm_compute::vst1_qs16()</a>.</p>
<div class="fragment"><div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;{</div><div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#a5002d49f346614198f3e8b475f27a7eb">vst1_qs16</a>(buffer, vget_low_s16(values.val[0]));</div><div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;}</div><div class="ttc" id="namespacearm__compute_xhtml_a5002d49f346614198f3e8b475f27a7eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a5002d49f346614198f3e8b475f27a7eb">arm_compute::vst1_qs16</a></div><div class="ttdeci">void vst1_qs16(qint16_t *addr, qint16x4_t b)</div><div class="ttdoc">Store a single 16 bit fixed point vector to memory (4 elements) </div></div>
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          <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">arm_compute::detail::store_results</a>&lt; 3 &gt; </td>
          <td>(</td>
          <td class="paramtype">int32_t *&#160;</td>
          <td class="paramname"><em>buffer</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int32x4x2_t &amp;&#160;</td>
          <td class="paramname"><em>values</em>&#160;</td>
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<p>Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00531">531</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p>

<p>References <a class="el" href="_error_8h_source.xhtml#l00159">ARM_COMPUTE_UNUSED</a>, <a class="el" href="namespacearm__compute_1_1detail.xhtml#ac064ba58efa26ec2599bc8f50d3e0851">convolve_3x3()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3&lt; 1 &gt;()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00111">convolve_3x3&lt; 2 &gt;()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00121">convolve_3x3&lt; 3 &gt;()</a>, <a class="el" href="namespacearm__compute_1_1detail.xhtml#a30f6368deaea5f10f9dd1bbaa28c24e6">get_input_num_elems_processed()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00154">get_input_num_elems_processed&lt; 1 &gt;()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00160">get_input_num_elems_processed&lt; 2 &gt;()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00166">get_input_num_elems_processed&lt; 3 &gt;()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00034">load_matrix_row()</a>, <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00132">store_results&lt; 1 &gt;()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00139">store_results&lt; 2 &gt;()</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00145">store_results&lt; 3 &gt;()</a>.</p>
<div class="fragment"><div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;{</div><div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;    vst1_s32(buffer, vget_low_s32(values.val[0]));</div><div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;}</div></div><!-- fragment -->
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